Attribute Based Top K Data Retrieval over Documents in Cloud Storage

Abstract

One of t he biggest technological developments of our day, cloud computing, provides a wide range of services to meet the demands of numerous users. Service providers charge based on the amount of time spent using their services. Cloud computing becomes more difficult as security and scalability requirements are imposed on cloud data. In spite of its many benefits, cloud computing still has a constraint known as security that has to be solved. Encrypting and uploading sensitive data to the cloud is necessary to ensure the privacy and efficiency of data storage. Searching for files using numerous keywords is necessary when the data gets more complicated and the number of users grows. Traditional searchable encryption techniques enable users to search encrypted cloud data using keywords, which merely permit search, i.e. if a term is in a file or not, without any relation to data files and the searched keyword.. As a consequence of a single term ranked search, data privacy is compromised while searching the cloud utilising server side ranking based on order preservation encryption. The TF/IDF Algorithm was suggested in this Project to find the most relevant K documents.